Our scene classification and analysis API identifies the apparent location of the scene in a given image or video. The system returns multiple scene labels and classifies them at scale. The model checks whether it is an indoor or outdoor space and groups the scene under possible categories and attributes, such as, outdoors on a farm, around sunny mountains, etc.
The scene analysis technology can be used in cases when it’s necessary to recognize the environment at one glance. For example, people who work with many images can use the system to quickly classify the pictures according to the content; providers of stock photos and videos can apply this technology to automatically generate labels for their content.
Scene classification API is used to detect indoor and outdoor scenes in an image. The scene detection model gives the 5 highest possible locations out of 365 classes and provides supporting information from a dataset of 102 attributes in total.
The input is an image.
The API returns the following:
True – Indoor
False – Outdoor
Categories – Gives the 5 highest possible locations. There are a total of 365 possible locations.
Attributes- Gives additional information about a location, such as warm, natural light, etc. There are a total of 102 attributes.